Rapid identification of cod authenticity based on hyperspectral imaging technology

IF 4.3 2区化学 Q1 SPECTROSCOPY

Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy Pub Date : 2024-10-09 DOI:10.1016/j.saa.2024.125258

Yu Xia , Dong Li , Yilin Wang , Qibing Xi , Tianhui Jiao , Jie Wei , Xiaomei Chen , Qingmin Chen , Quansheng Chen

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引用次数: 0

Abstract

The high economic value of Atlantic cod makes it prone to fraudulent activities in the market, thus achieving rapid and non-destructive identification of its authenticity has practical significance. This study investigated the hyperspectral imaging (HSI) systems with a Vis-NIR (400 – 1000 nm) and SWIR (900 – 1700 nm) spectral range, for determining the authenticity of Atlantic cod fillets in two frozen and thawed sample states. Results found that the model effect of Vis-NIR data was generally better than SWIR data. Random forest (RF) and Linear discriminant analysis (LDA) models of Vis-NIR data achieved 100 % accuracy. Variable screening algorithms of Successive projections algorithm (SPA) and Variable combination population analysis- iteratively retaining informative variables (VCPA-IRIV) maintained 100 % accuracy of the LDA model at VIS-NIR wavebands while simplifying the data operation burden. Overall, this study suggests that HSI is a promising solution for rapid and non-destructive detection of Atlantic cod authenticity.

Abstract Image

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基于超光谱成像技术快速识别鳕鱼真伪。

大西洋鳕鱼具有很高的经济价值，因此很容易在市场上出现欺诈行为，因此实现对其真伪的快速、非破坏性鉴别具有重要的现实意义。本研究调查了可见光-近红外（400 - 1000 nm）和西南红外（900 - 1700 nm）光谱范围的高光谱成像（HSI）系统，用于确定大西洋鳕鱼片在冷冻和解冻两种样品状态下的真伪。结果发现，可见光-近红外数据的模型效果普遍优于 SWIR 数据。可见光近红外数据的随机森林（RF）和线性判别分析（LDA）模型的准确率达到了 100%。连续预测算法（SPA）和变量组合群体分析--迭代保留信息变量（VCPA-IRIV）的变量筛选算法在简化数据操作负担的同时，保持了可见-近红外波段线性判别分析模型的 100% 精确度。总之，这项研究表明，恒星仪是快速、非破坏性检测大西洋鳕鱼真伪的一种有前途的解决方案。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 物理-光谱学

CiteScore

8.40

自引率

11.40%

发文量

1364

审稿时长

40 days

期刊介绍： Spectrochimica Acta, Part A: Molecular and Biomolecular Spectroscopy (SAA) is an interdisciplinary journal which spans from basic to applied aspects of optical spectroscopy in chemistry, medicine, biology, and materials science. The journal publishes original scientific papers that feature high-quality spectroscopic data and analysis. From the broad range of optical spectroscopies, the emphasis is on electronic, vibrational or rotational spectra of molecules, rather than on spectroscopy based on magnetic moments. Criteria for publication in SAA are novelty, uniqueness, and outstanding quality. Routine applications of spectroscopic techniques and computational methods are not appropriate. Topics of particular interest of Spectrochimica Acta Part A include, but are not limited to: Spectroscopy and dynamics of bioanalytical, biomedical, environmental, and atmospheric sciences, Novel experimental techniques or instrumentation for molecular spectroscopy, Novel theoretical and computational methods, Novel applications in photochemistry and photobiology, Novel interpretational approaches as well as advances in data analysis based on electronic or vibrational spectroscopy.